Job Description

NEED IMMEDIATE JOINERS / NOTICE PERIOD LESS THAN 30 DAYS

Few important notes:

• Resource should be willing to work from Hyderabad office.
• Resource should have 7+ years of relevant experience in Data Science. In case of PhD, 5+ years post qualification experience.
• Hands-on experience in Statistical Modelling, Machine Learning, Deep Learning and Data Mining techniques .

Description:

Role - Data Scientist

Major Accountabilities

This role will lead technical development within Artificial Intelligence/Machine Learning expertise. The role is responsible for:

Set up and manage our AI development and facilitate production infrastructure.

Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.

Build data ingest and data transformation infrastructure.

Identify transfer learning opportunities and new training datasets.

Build AI models from scratch and help product managers and stakeholders understand results.

Deploy AI models into production.

Create APIs and help business customers put results of your AI models into operations.

Keep current of latest AI research relevant to PBNA business domain.

Technical subject matter expert for Advanced Analytics and digital solution (AI, ML, Advanced Analytics)

Develop proof-of-concept demos in a SAFe Agile team

Identify transfer learning opportunities and new training datasets.

Build and deploy AI models for PBNA

Assess new capabilities within AI/ML, shape business demand to leverage digital capabilities

Develop automation for repeatedly refreshing analysis and generating insights

Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives

Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions

Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively

Manage own tasks and works with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise escalations

Education

(minimum/desirable)

PhD or Masters (or Bachelors from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)

Skills

7+ years of relevant experience in Data Science. In case of PhD, 5+ years post qualification experience.

Hands-on experience in Statistical Modelling, Machine Learning, Deep Learning and Data Mining techniques .

Experience working in Text Analytics, NLP

Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing (NLP)

Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and unstructured data, Recommender Systems (content and collaborative filtering), etc.

Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc. would be added advantage. Exposure to Azure

Experience building AI models in platforms such as Keras, TensorFlow, or Theano.

Experience in managing teams and leadership skills

Excellent client facing skills along with prior demonstrated experience of leading teams at various stages

Should demonstrate a team oriented and collaborative approach, and excellent communication skills, including strong oral and written communication capabilities

Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects.

Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies

Participate in ideation and solutioning discussions, driving clarity of complex issues/requirements to build robust solutions.

Job Type: Temporary

Pay: ?1,000,000.00 - ?2,500,000.00 per year

Schedule:

• Day shift

Experience:

• Statistical Modelling: 5 years (Required)
• Machine learning: 5 years (Required)
• Data mining: 5 years (Required)
• Deep learning: 5 years (Required)
• Data science: 7 years (Required)

Work Location: In person